CFPB Releases Its Consumer Credit Report Card

December 2017 is something of an anniversary for Americans – though one they probably don’t like to celebrate.

Exactly one decade ago, the Great Recession officially began with the bursting of the $8 trillion real estate bubble. Almost overnight, housing prices crashed, the credit markets dried up for all but the most credit-worthy of customers and enterprises, consumer spending fell through the floor and the economy shed jobs at a rate not seen since the 1930s. Between 2008 and 2009, the U.S. labor market lost 8.4 million jobs, or 6.1 percent of all payroll employment.

By point of comparison, the 1981 recession, the previous #2 position holder for worst modern economic downturn, saw net job losses of only 3.1 percent.

Given the severity of the downturn – combined with a recovery period that one might generously describe as sluggish – the consumer’s relationships to debt changed, sharply.

According to data from the New York Federal Reserve, credit card balances during the 2008-2009 period fell by $136 billion (including write-offs), and roughly 40 percent of that reduction was due to a newfound enthusiasm for “household frugality.”

The total number of open consumer credit card accounts also plummeted. According to the Fed study, the number of accounts peaked at around 500 million in mid-2008; by Q3 2010, that figure had plummeted to 378 million.

The Fed attributed some of that decline to consumers closing accounts – or having their accounts closed – and consumers failing to reopen new ones because they were unable to get new credit card accounts, given more stringent underwriting standards in an environment of tight credit.

But, the Fed concluded, the more impactful change was in consumer behavior. Consumers were closing cards of their own volition, and were simply less inclined to even apply for new cards at all.

“The available evidence suggests that fewer applications for credit … contributed to the decline in new account openings,” the Fed economists concluded.

But that was 2010, less than a year out of the worst recession in modern memory, when consumers were feeling their most skittish -=– and lenders were at their most selective.

Where are we now, 10 years out?

Just in time to answer that question is the CFPB, which yesterday released its biennial report on the state of the credit card market in the United States.

Close – But Not Quite Recovered To Pre-Recession Levels

The general trend, particularly when taken against the deep, dark days of credit despair 10 years ago, is toward growth. The average credit line, average number of accounts, average outstanding card debt and enrollment in digital card services have all shown marked increases over the last six years (the CFPB has been releasing the biennial credit card report since 2013).

The cost of cards has been largely flat in terms of cost of credit, both in general and across credit tiers, since the last report in 2015. Consumer costs, as measured in interest rates and fees, have also been largely stable over the last two years.

That, the report suggests, has created an environment in which issuers have become more creative in attracting customers.

“Rewards programs of all kinds proliferate, new digital account servicing tools help consumers manage purchases, debt and account security, and new providers are entering this and adjacent markets with new products that compete with incumbents,” the report noted.

New credit card originations remain below pre-crisis levels, but are up roughly 50 percent since the 2010 low-water mark. In 2016, consumers opened approximately 110 million new credit card accounts, which is roughly 50 percent higher than 2010 and higher than any single year since 2007.

All in, levels haven’t reached full recovery – consumers had about $4 trillion in credit card debt as of the close of 2017, which is $400 million less than the mid-2008 high of $4.4 trillion.

Changing Habits

Consumers’ credit lines are increasing across every tier, the report noted. That represents a change from the 2015 report, when increases in credit lines were seen in the prime and near-prime tiers, but both sub-prime and deep sub-prime categories remained largely flat.

Credit card debt is also on the rise, up 9 percent on average over the last two years. Those increases have been much more notable on the lower end of the credit spectrum than in other tiers. For example, cardholders with deep sub-prime scores have seen a 26 percent increase in their average credit card debt over the last two years.

That rate, according to the CFPB’s data, has started to tick up, though very slightly, with the number of accounts 60 days delinquent for both private label and general cards below 1.5 percent. For share of balances more than 60 days delinquent, private label cards have seen that figure grow slightly to 3.8 percent, while general purpose cards are showing delinquency rates slightly below 1.9 percent.

“This uptick in delinquency and charge-off rates remains small, but is occurring in the absence of any concurrent deterioration in broader economic conditions;” the report stated.

Consumers, other than remaining committed to paying off their debts, are also becoming increasingly digital. Around 60 percent of all credit card accounts are enrolled in online services, and one-third of mass market, general purpose accounts were enrolled in mobile servicing applications.

Customers – particularly sub-prime and deep sub-prime customers – are also increasingly using “secured” credit cards that require a cash deposit for use, with large balances going to larger deposits. On the whole, the number of secured cards in the market was up 7 percent between 2016 and 2017, with the CFPB predicting more growth between 2016 and 2017. In 2017, secured cards accounted for roughly 25 percent of general purpose originations to consumers with a deep sub-prime score or no score. Secured cards were also popular with millennial consumers looking to establish a credit footprint, as roughly 7 percent of all cards issued to 21- to 34-year-old consumers were secured credit cards.

But, as the CFPB noted, the number of those sub-prime and deep sub-prime customers is declining, as the average consumer credit score has been trending upward over the last two years.

“In fact, this shift has occurred even as the total scored population has been growing, making it more striking that the absolute number of consumers with lower credit scores has been declining,” the report noted. “Since the period spanning late 2009 through late 2011, when both the absolute number and the share of consumers with lower credit scores peaked, the number of consumers with lower scores has fallen by five million.”

It is hard, of course, to draw conclusions from a single report – or even a three-report series. Still, it seems some things are becoming clear.

The first point is that consumers in general seem to have gotten over the profound fear of credit brought on by the downturn. It seems millennials – who many experts widely predicted would never want to use credit products – are in fact not only interested, but willing to invest in a secured card product to get a toe into the marketplace.

And while we can’t determine if Americans have truly learned their lesson this time, the low delinquency rates and lower number of total accounts indicates they might have gotten more circumspect about the use of credit.

Which means 2018 might see a continuation of the strong spending trends that characterized the 2017 holiday season. Consumers have cards once again (though not quite as many as they did 10 years ago), and for the first time in a decade, it seems they feel more comfortable using them.


Agentic AI Emerges as Fix for Cross-Border Payment Frictions

Agentic artificial intelligence (AI) promises to improve operational efficiencies and the customer experience offered by enterprises.

The advanced technology is finding applications in loan underwriting and fraud detection, and now it’s moving across borders.

TerraPay Co-Founder and Chief Operating Officer Ram Sundaram told PYMNTS as part of the “What’s Next in Payments” series focused on exploring AI’s use in banking and by FinTechs that automated decision making and streamlined processes will continue to transform global money movement, especially as faster payments gain ground in cross-border transactions. That’s the inexorable trend, but as Sundaram put it, there’s still room, and a necessity, to have some human interaction in the mix.

In terms of global fund flows, TerraPay’s single connection ties more than 3.7 billion mobile wallets together across 200 sending and 144 receiving countries, touching 7.5 billion bank accounts. As one might imagine, coordinating and enabling the transactions is complex.

“Obviously, in the best-case scenario, everything goes smoothly, but when things are not going smoothly, that’s when the customer queries come in,” Sundaram said.

It’s no easy task to find out straight away where a transaction is, as analysts and representatives at the company have to look at logs and query partner systems.

“A lot of that work is done manually,” said Sundaram, who added that the agents “know the corridors and the markets that they are working in, but it still takes some time.”

Using AI Models

TerraPay is using AI models with machine learning to bolster customer support and automate tasks as financial institutions (TerraPay’s client base) send payments in real time, and those payments are processed into local markets’ beneficiary banks.

“We still don’t trust [AI models] to let them respond to the customer straight away, but we can do the analysis, and then that gets reviewed by an agent who decides if [information] is accurate or not and then sends it off,” Sundaram said.

The same principles are guiding AI models and company practices to improve technical and security operations, analyzing and categorizing anomalous transactions and automating integrations with partner firms.

“Compliance is an issue where there is a lot of review needed of the alerts, and we are using [AI models] to speed up those processes,” Sundaram said.

Asked by PYMNTS about how agentic AI can be harnessed, he said: “In financial services, you can’t take chances on technology like this, which has the freedom to go wrong. You have to be careful about making sure that it’s 100% reliable before we can let things run entirely by automation.”

Agentic AI also remains pricey. For example, OpenAI is charging $20,000 a month for its specialized agents. However, Sundaram said the industry will become commoditized quickly, which will lower prices, and some open-source offerings are capable.

“There’s a fire hose of news about breakthroughs and new ideas and new ways of doing things that are coming out on a daily basis,” he said.

Data underpins it all, and Sundaram told PYMNTS that no matter what the application, the information fed into the models must be clean. Most organizations have a range of data sitting in different intra-company silos, and those silos need to come down.

In addition, the data must be structured so that it is accessible and can be synthesized by the models. Many firms may have more than 1,000 software-as-a-service (SaaS) resources to which they are subscribed but are not accurately tracked or monitored.

“Every database is separated, each one sitting somewhere else,” he said.

The days of stitching together those separate SaaS offerings to run an enterprise are ending, he said, and we’re headed to a future when data is collected in one place.

AI models and agentic AI “are extensions of what we’ve always valued at TerraPay, which means building the most efficient infrastructure possible in order to make sure that transactions are processed safely, quickly and affordably,” Sundaram told PYMNTS. “We see AI and [AI models] as powerful tools that help us scale all this very quickly while making sure we build more and more efficiency into the system.”